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                <h1 class="title-article" id="articleContentId">JVM中的本地内存追踪NMT（Native Memory Tracking）</h1>
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                <div class="up-time" style="left: 124.031px; display: none;"><span>于&nbsp;2021-12-21 14:15:34&nbsp;首次发布</span></div>
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                        原文链接：<a href="https://www.baeldung.com/native-memory-tracking-in-jvm" target="_blank" rel="noopener">https://www.baeldung.com/native-memory-tracking-in-jvm</a>
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                    <h1><a name="t0"></a><a id="JVMNMTNative_Memory_Tracking_0"></a><a href="https://so.csdn.net/so/search?q=JVM&amp;spm=1001.2101.3001.7020" target="_blank" class="hl hl-1" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.7020&quot;,&quot;dest&quot;:&quot;https://so.csdn.net/so/search?q=JVM&amp;spm=1001.2101.3001.7020&quot;}" data-tit="JVM" data-pretit="jvm">JVM</a>中的本地内存追踪NMT（Native Memory Tracking）</h1> 
<h2><a name="t1"></a><a id="1__2"></a>1 概述</h2> 
<p>每当想起为什么Java应用程序会消耗比设置-Xms和-Xmx多的<a href="https://so.csdn.net/so/search?q=%E5%86%85%E5%AD%98&amp;spm=1001.2101.3001.7020" target="_blank" class="hl hl-1" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.7020&quot;,&quot;dest&quot;:&quot;https://so.csdn.net/so/search?q=%E5%86%85%E5%AD%98&amp;spm=1001.2101.3001.7020&quot;}" data-tit="内存" data-pretit="内存">内存</a>的时候，心中总是会有个问号。因为一些理由和优化，JVM可能会额外分配本地内存。这些额外分配的内存最终会消耗超过Xmx的限制。</p> 
<p>在本文中，我们将列举一些在JVM中常见的本地内存资源，以及设置它们大小的标志，然后我们学习怎么运用<em>Native Memory Tracking</em>去监视它们。</p> 
<h2><a name="t2"></a><a id="2__8"></a><strong>2. 本地分配</strong></h2> 
<p>堆通常是在Java应用程序中消耗内存最大的部分，但是也有例外。**除了堆，JVM也会从本地内存中分配相当大的一块以维护其元数据（metadata），应用代码，JIT生成的代码，以及内部数据结构等等。**在接下来的章节，我们将探索这些内容。</p> 
<h3><a name="t3"></a><a id="21_Metaspace_12"></a>2.1. 元空间（Metaspace）</h3> 
<p><strong>为了维护加载类的元数据，JVM使用了一个专门的非堆区域，该区域称为<em>元空间</em></strong>。在Java8之前，此区域等效于永久代。元空间或者永久代包含了加载类的元数据而非其实例，实例都保存在堆中。</p> 
<p>这里值得强调的是：<strong>堆大小的配置不会影响元空间</strong>。因为元数据是非堆区域。为了限制元空间的大小，我们使用如下的标志：</p> 
<ul><li><em>-XX:MetaspaceSize</em>和*-XX:MaxMetaspaceSize*以设置最小和最大的元空间大小。</li><li>在Java8之前，<em>-XX:PermSize</em>和*-XX:MaxPermSize*是设置最小和最大的永久代大小。</li></ul> 
<h3><a name="t4"></a><a id="22__21"></a>2.2. 线程</h3> 
<p>最重要的内存数据区域之一是JVM的栈，每一条线程都有一个独立维护的栈。栈保存本地变量和部分的结果，扮演方法调用的重要角色。</p> 
<p>默认的线程栈的大小是平台无关的，但是在大多数64位操作系统中，它的大小大约是1MB。该大小是通过*-Xss*标志设置。</p> 
<p>相比于其他的数据区域，**只要线程的数量没限制，栈的内存分配通常是不受约束的。**同样值得说明的是JVM自身需要一些线程去执行一些内部操作如GC和即时编译。</p> 
<h3><a name="t5"></a><a id="23__29"></a>2.3. 代码缓存</h3> 
<p>为了在不同的平台上运行JVM字节码，它需要将其转换为机器码。JIT编译器负责其编译操作。</p> 
<p>**当JVM编译字节码到汇编指令时，它保存这些指令在一个特殊的非堆区域，该区域称为<em>CodeCache</em>。*<em>JVM可以像管理其他区域一样管理CodeCache。-<em>XX:InitialCodeCacheSize</em>和</em>-XX:ReservedCodeCacheSize*标记决定了CodeCache的初始值和可能的最大值。</p> 
<h3><a name="t6"></a><a id="24__35"></a>2.4. 垃圾回收</h3> 
<p>JVM有很多GC算法以针对不同的情形。所有的这些GC都有一个共同的特点：那就是它们需要一些非堆的结构来运行它们的任务。这些内部结构会消耗更多的本地内存。</p> 
<h3><a name="t7"></a><a id="25_Symbols_39"></a>2.5. 符号（Symbols）</h3> 
<p>让我们从<em>String</em>开始，这是在应用和库代码中使用最多的一种数据类型。因为它们的特殊性，它们通常会占据堆的很大一部分。如果很多的字符串共享同样的内容，则堆内存中的很大一部分都浪费了。</p> 
<p>为了解决堆空间，我们保存每一个String的唯一版本然后让其它的变量引用这个版本。该过程称为*<em><em>String Interning***。因为JVM只能intern</em>编译时间字符串常量</em>，我们能够手动调用intern()方法在我们想去intern的字符串上。</p> 
<p><strong>JVM stores interned strings in a special native fixed-sized hashtable called the</strong> <em><strong>String Table,</strong></em> <strong>also known as the <a href="https://www.baeldung.com/java-string-pool">*String Pool*</a></strong><em><strong>.</strong></em> We can configure the table size (i.e. the number of buckets) via the <em>-XX:StringTableSize</em> tuning flag.</p> 
<p>**JVM有一个本地固定大小的哈希表（该表称为<em>String Table</em>）来保存内部字符串，这个表也称为<em>String Pool</em>。**我们能够通过-XX:StringTableSize标志配置表的大小（例如桶的数量）。</p> 
<p>除了String table，还有另外一个称为<em>运行时常量池</em>的内部区域。JVM使用该区域保存常量，例如编译时的数字字面量或者必须在运行时保存的方法和字段引用。</p> 
<h3><a name="t8"></a><a id="26__51"></a>2.6. 本地字节缓存</h3> 
<p>JVM通常是自己做本地分配，到有时开发者想直接分配本地内存。通常使用的方法是通过JNI调用<em>malloc</em>或者NIO的直接<em>ByteBuffers</em>.</p> 
<h3><a name="t9"></a><a id="27__55"></a>2.7. 其他标志</h3> 
<p>在本节，我们为不同的优化场景使用了一些JVM标志。用如下的命令可以找到所有相关的概念：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ java -XX:+PrintFlagsFinal -version <span class="token operator">|</span> <span class="token function">grep</span> <span class="token operator">&lt;</span>concept<span class="token operator">&gt;</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>The <em>PrintFlagsFinal</em> prints all the –<em>XX</em> options in JVM. For example, to find all Metaspace related flags:</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ java -XX:+PrintFlagsFinal -version <span class="token operator">|</span> <span class="token function">grep</span> Metaspace
      // truncated
      uintx MaxMetaspaceSize                          <span class="token operator">=</span> <span class="token number">18446744073709547520</span>                    <span class="token punctuation">{<!-- --></span>product<span class="token punctuation">}</span>
      uintx MetaspaceSize                             <span class="token operator">=</span> <span class="token number">21807104</span>                                <span class="token punctuation">{<!-- --></span>pd product<span class="token punctuation">}</span>
      // truncated
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li><li style="color: rgb(153, 153, 153);">4</li><li style="color: rgb(153, 153, 153);">5</li></ul></pre> 
<h2><a name="t10"></a><a id="3_Native_Memory_Tracking_NMT_73"></a><strong>3. Native Memory Tracking (NMT)</strong></h2> 
<p>现在我们知道在JVM中本地内存分配的一些常见的源，现在是找出如何监视它们的时候了。首先，我们应该通过使用其他的JVM标志是<strong>使得可以本地内存追踪：-XX:NativeMemoryTracking=off|summary|detail</strong>。默认地，NMT是关闭的，但是我们能够开启它。</p> 
<p>假设我们想要跟踪一个典型的SpringBoot应用的本地分配：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ java -XX:NativeMemoryTracking<span class="token operator">=</span>summary -Xms300m -Xmx300m -XX:+UseG1GC -jar app.jar
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>Here, we’re enabling the NMT while allocating 300 MB of heap space, with G1 as our GC algorithm.</p> 
<p>在这里，当分配300MB的堆大小的时候，我们正在启动NMT，同时，我们使用G1作为我们的GC算法。</p> 
<h3><a name="t11"></a><a id="31__87"></a>3.1. 即时快照</h3> 
<p>当NMT被启动，我们能够在任何时候通过使用<em>jcmd</em>命令获得本地内存信息：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ jcmd <span class="token operator">&lt;</span>pid<span class="token operator">&gt;</span> VM.native_memory
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>为了找到一个JVM应用程序的PID，我们使用jps命令：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ jps -l                    
<span class="token number">7858</span> app.jar // This is our app
<span class="token number">7899</span> sun.tools.jps.Jps
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li></ul></pre> 
<p>现在如果我们使用jcmd获得pid，则<em>VM.native_memory</em>让JVM打印出有关本地分配的信息：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ jcmd <span class="token number">7858</span> VM.native_memory
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>让我们分析一段一段的分析出NMT的输出。</p> 
<h3><a name="t12"></a><a id="32__111"></a>3.2. 全部分配</h3> 
<p>NMT打印全部的保留和使用的内存如下：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Native Memory Tracking:
Total: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>1731124KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>448152KB
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li></ul></pre> 
<p><strong>保留内存显示了我们应用程序能够使用的全部内存。相对地，使用内存是当前正在使用的内存。</strong></p> 
<p>尽管分配了300MB的堆内存，但是我们应用程序全部的保留内存大约1.7GB，远远大于堆内存。类似，使用内存大约400MB，也大于300MB。</p> 
<p>After the total section, NMT reports memory allocations per allocation source. So, let’s explore each source in depth.</p> 
<p>在本节后，NMT打印了每个源的内存分配。让我们更深一步了解一下。</p> 
<h3><a name="t13"></a><a id="33__128"></a>3.3. 堆</h3> 
<p>NMT打印我们的堆内存，确实像我们前面设置的一样：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Java Heap <span class="token punctuation">(</span>reserved<span class="token operator">=</span>307200KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>307200KB<span class="token punctuation">)</span>
          <span class="token punctuation">(</span>mmap: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>307200KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>307200KB<span class="token punctuation">)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li></ul></pre> 
<p>300MB的保留和使用内存，符合我们设置的情况。</p> 
<h3><a name="t14"></a><a id="34_Metaspace_139"></a>3.4. 元数据区（Metaspace）</h3> 
<p>下面是加载的类的类元数据的NMT信息：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Class <span class="token punctuation">(</span>reserved<span class="token operator">=</span>1091407KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>45815KB<span class="token punctuation">)</span>
      <span class="token punctuation">(</span>classes <span class="token comment">#6566)</span>
      <span class="token punctuation">(</span>malloc<span class="token operator">=</span>10063KB <span class="token comment">#8519) </span>
      <span class="token punctuation">(</span>mmap: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>1081344KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>35752KB<span class="token punctuation">)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li><li style="color: rgb(153, 153, 153);">4</li></ul></pre> 
<p>大约1GB的保留和45MB的使用空间区加载6566个类。</p> 
<h3><a name="t15"></a><a id="35__152"></a>3.5. 线程</h3> 
<p>下面是线程的内存分配信息：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Thread <span class="token punctuation">(</span>reserved<span class="token operator">=</span>37018KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>37018KB<span class="token punctuation">)</span>
       <span class="token punctuation">(</span>thread <span class="token comment">#37)</span>
       <span class="token punctuation">(</span>stack: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>36864KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>36864KB<span class="token punctuation">)</span>
       <span class="token punctuation">(</span>malloc<span class="token operator">=</span>112KB <span class="token comment">#190) </span>
       <span class="token punctuation">(</span>arena<span class="token operator">=</span>42KB <span class="token comment">#72)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li><li style="color: rgb(153, 153, 153);">4</li><li style="color: rgb(153, 153, 153);">5</li></ul></pre> 
<p>总共，36MB的内存被分配到了37个线程——大约每个栈有1MB的内存。JVM分配内存到线程是在JVM创建之初，所以保留内存和使用内存是相等的。</p> 
<h3><a name="t16"></a><a id="36_Code_Cache_166"></a>3.6. Code Cache</h3> 
<p>让我们看看JIT产生的汇编指令所占的空间：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Code <span class="token punctuation">(</span>reserved<span class="token operator">=</span>251549KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>14169KB<span class="token punctuation">)</span>
     <span class="token punctuation">(</span>malloc<span class="token operator">=</span>1949KB <span class="token comment">#3424) </span>
     <span class="token punctuation">(</span>mmap: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>249600KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>12220KB<span class="token punctuation">)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li></ul></pre> 
<p>当前，大约13MB的空间被会缓存了，并且能使用的空间大约在245MB。</p> 
<h3><a name="t17"></a><a id="37_GC_178"></a>3.7. GC</h3> 
<p>下面是NMT报告的G1GC的内存使用情况：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">GC <span class="token punctuation">(</span>reserved<span class="token operator">=</span>61771KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>61771KB<span class="token punctuation">)</span>
   <span class="token punctuation">(</span>malloc<span class="token operator">=</span>17603KB <span class="token comment">#4501) </span>
   <span class="token punctuation">(</span>mmap: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>44168KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>44168KB<span class="token punctuation">)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li></ul></pre> 
<p>我们能看到，大约60MB的空间是G1可以保留和使用的。</p> 
<p>让我们看看更简单的一种GC，SerialGC：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ java -XX:NativeMemoryTracking<span class="token operator">=</span>summary -Xms300m -Xmx300m -XX:+UseSerialGC -jar app.jar
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>SerialGC仅仅使用1MB：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">GC <span class="token punctuation">(</span>reserved<span class="token operator">=</span>1034KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>1034KB<span class="token punctuation">)</span>
   <span class="token punctuation">(</span>malloc<span class="token operator">=</span>26KB <span class="token comment">#158) </span>
   <span class="token punctuation">(</span>mmap: <span class="token assign-left variable">reserved</span><span class="token operator">=</span>1008KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>1008KB<span class="token punctuation">)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li></ul></pre> 
<p>明显地，我们不应该挑选一个GC算法仅仅是因为内存使用，作为SerialGC的STW（stop-the-world）属性可能导致性能下降。然而，有<a href="https://www.baeldung.com/jvm-garbage-collectors">其他几种GC</a>可供选择，并且它们在不同情况下能够平衡内存和性能。</p> 
<h3><a name="t18"></a><a id="38_Symbol_206"></a>3.8. 符号（Symbol）</h3> 
<p>下面是NMT打印有关符号的分配，如同String table和常量池：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">Symbol <span class="token punctuation">(</span>reserved<span class="token operator">=</span>10148KB, <span class="token assign-left variable">committed</span><span class="token operator">=</span>10148KB<span class="token punctuation">)</span>
       <span class="token punctuation">(</span>malloc<span class="token operator">=</span>7295KB <span class="token comment">#66194) </span>
       <span class="token punctuation">(</span>arena<span class="token operator">=</span>2853KB <span class="token comment">#1)</span>
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li><li style="color: rgb(153, 153, 153);">3</li></ul></pre> 
<p>大约10MB被分配给符号使用。</p> 
<h3><a name="t19"></a><a id="39_NMT__218"></a>3.9. NMT 监控时间段</h3> 
<p>**NMT允许我们追踪在一段时间内的内存改变情况。**首先我们应该标记当前我们应用程序的状态作为基线：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ jcmd <span class="token operator">&lt;</span>pid<span class="token operator">&gt;</span> VM.native_memory baseline
Baseline succeeded
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li><li style="color: rgb(153, 153, 153);">2</li></ul></pre> 
<p>然后，过一段时间，我们就能够比较出当前内存与基线之间的差别：</p> 
<pre class="prettyprint"><code class="prism language-shell has-numbering" onclick="mdcp.signin(event)" style="position: unset;">$ jcmd <span class="token operator">&lt;</span>pid<span class="token operator">&gt;</span> VM.native_memory summary.diff
<div class="hljs-button signin" data-title="登录后复制" data-report-click="{&quot;spm&quot;:&quot;1001.2101.3001.4334&quot;}"></div></code><ul class="pre-numbering" style=""><li style="color: rgb(153, 153, 153);">1</li></ul></pre> 
<p>现在，使用+和-标记，就能够告诉我们在这段时间内内存的使用情况：</p> 
<h2><a name="t20"></a><a id="4__235"></a>4. 结论</h2> 
<p>本文，我们列举了在JVM中本地内存分配的使用方法。然后，我们学习了怎么监控一个运行中的应用程序。有了这些内容，我们就能更加有效地调整我们的应用并且规划我们的运行时环境。</p>
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&lt;p style="color: #676767; font-size: 14px; background-color: #ffffff;"&gt;&lt;span style="color: #676767;"&gt;&lt;span style="font-size: 14px;"&gt;理论篇部分推荐每天学习2课时，可以在公交地铁上用手机进行学习。&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p style="color: #676767; font-size: 14px; background-color: #ffffff;"&gt;&lt;span style="color: #676767;"&gt;&lt;span style="font-size: 14px;"&gt;实战篇部分推荐对照视频，使用配套源码，一边练习一遍学习。&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p style="color: #676767; font-size: 14px; background-color: #ffffff;"&gt;&lt;span style="color: #676767;"&gt;&lt;span style="font-size: 14px;"&gt;课程内容较多，不要一次性学太多，而是要循序渐进，坚持学习。&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
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				<div class="desc ellipsis-online ellipsis-online-1">查看原生<em>内存</em>信息：jcmd process_id VM.<em>native</em>_<em>memory</em> summary

jcmd &lt;pid&gt; VM.<em>native</em>_<em>memory</em> [summary | detail | baseline | summary.diff | detail.diff | shutdown]



1.执行命令：jcmd &lt;pid&gt; VM.<em>native</em>_<em>memory</em> detail





2.
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ellipsis-online-1">需求分析编写一个程序,包括两个线程,一个线程用于模拟<em>内存</em>分配活动,另一个用于跟踪第一个线程的<em>内存</em>行为,要求两个线程之间通过信号量实现同步,模拟<em>内存</em>活动的线程可以从一个文件<em>中</em>读出要进行的<em>内存</em>操作。每个<em>内存</em>操作包含如下内容:时间:...</div>                    </a>                  </div>                </div>              </div>
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					<div class="left ellipsis-online ellipsis-online-1">聊聊HotSpot VM的<em>Native</em> <em>Memory</em> <em>Tracking</em></div>
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					<span class="info-block time">03-25</span>
					<span class="info-block read"><img class="read-img" src="./JVM中的本地内存追踪NMT（Native Memory Tracking）_阿达King的博客-CSDN博客_内存追踪_files/readCountWhite.png" alt="">
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				<div class="desc ellipsis-online ellipsis-online-1">序
本文主要研究一下HotSpot VM的<em>Native</em> <em>Memory</em> <em>Tracking</em>
<em>Native</em> <em>Memory</em> <em>Tracking</em>
<em>java</em>8给HotSpot VM引入了<em>Native</em> <em>Memory</em> <em>Tracking</em> (<em>NMT</em>)特性，可以用于<em>追踪</em><em>JVM</em>的内部<em>内存</em>使用
使用
开启
-XX:<em>Native</em><em>Memory</em><em>Tracking</em>=summary
复制代码
使用-XX:<em>Native</em><em>Memory</em>Trac...</div>
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					<div class="left ellipsis-online ellipsis-online-1"><em>Java</em><em>内存</em>之<em>本地</em><em>内存</em>分析神器： <em>NMT</em> 和 pmap</div>
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				<div class="desc ellipsis-online ellipsis-online-1">其他团队的一些同事经常问我一个问题：你的<em>Java</em>进程怎么占了那么多Virtual Size和RSS？ 最近，我基本上可以回答清楚这个问题了。用<em>NMT</em>和pmap基本就就能搞清楚<em>Java</em>进程为什么占了那些Virtual Size和RSS。

<em>NMT</em>是<em>Native</em> <em>Memory</em> <em>Tracking</em>的缩写，是<em>Java</em>7U40引入的HotSpot新特性。 pmap，众所周知，就是Linux上用了看进程地址空间</div>
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					<div class="left ellipsis-online ellipsis-online-1"><em>java</em> <em>native</em> <em>memory</em> <em>tracking</em></div>
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					<span class="info-block time">09-05</span>
					<span class="info-block read"><img class="read-img" src="./JVM中的本地内存追踪NMT（Native Memory Tracking）_阿达King的博客-CSDN博客_内存追踪_files/readCountWhite.png" alt="">
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				<div class="desc ellipsis-online ellipsis-online-1">jcmd &lt;pid&gt; VM.<em>native</em>_<em>memory</em> [summary | detail | baseline | summary.diff | detail.diff | shutdown] [scale= KB | MB | GB]

# summary: 分类<em>内存</em>使用情况.
# detail: 详细<em>内存</em>使用情况，除了summary信息之外还包含了虚拟<em>内存</em>使用情况。
# baseline: 创建<em>内存</em>使用快照，方便和<em>后</em>面做对比
# summary.diff: 和上一次baseline的s..</div>
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					<div class="left ellipsis-online ellipsis-online-1">查看<em>jvm</em><em>内存</em>状态的方式 -<em>NMT</em>证明<em>jvm</em><em>内存</em>多样性</div>
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				<div class="desc ellipsis-online ellipsis-online-1">查看<em>jvm</em><em>内存</em>状态的方式
1 图形化工具，如Jconsole、VisualVM
2 指令 jps jmap -heap/dump jstack
3 gc日志
4 <em>NMT</em>

<em>NMT</em>详解
<em>NMT</em>特性可以用于展示<em>jvm</em>所有占用的<em>内存</em>使用，开启<em>NMT</em>并选择summary模式，-XX:<em>Native</em><em>Memory</em><em>Tracking</em>=summary；
为了方便获取和对比 <em>NMT</em> 输出，选择在应用退出时打印 <em>NMT</em>...</div>
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				<div class="desc ellipsis-online ellipsis-online-1">为什么80%的码农都做不了架构师？&gt;&gt;&gt; 
                                        
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					<div class="left ellipsis-online ellipsis-online-1"><em>java</em> <em>native</em><em>内存</em>_<em>JVM</em>参数之<em>Native</em><em>Memory</em><em>Tracking</em></div>
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				<div class="desc ellipsis-online ellipsis-online-1"><em>Java</em>8给HotSpot VM引入了<em>Native</em> <em>Memory</em> <em>Tracking</em> (<em>NMT</em>)特性，可以用于<em>追踪</em><em>JVM</em>的内部<em>内存</em>使用，一般在压测调参的时候使用，生产环境不要引入。1、启用：-XX:<em>Native</em><em>Memory</em><em>Tracking</em>=detail：-XX:<em>Native</em><em>Memory</em><em>Tracking</em>=[off | summary | detail]#off: 默认关闭#summary: 只...</div>
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					<div class="left ellipsis-online ellipsis-online-1"><em>内存</em>检查：mtrace <em>内存</em><em>追踪</em>、valgrind 工具</div>
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				<div class="desc ellipsis-online ellipsis-online-1">目录

   一、mtrace 命令

1、函数接口

2、测试程序

3、函数地址返回

   二、valgrind 工具

1、下载

2、查看

一、mtrace 命令


$ gcc test.c -o test -g

$ ./test

$ mtrace test trace.log

1、函数接口


#include &lt;mcheck.h&gt;

void m...</div>
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				<div class="desc ellipsis-online ellipsis-online-1">周末对ICF平台做了压力测试，具体情况如下：
测试场景：50个并发，持续2小时。
5个人同时登陆，每次提交账号密码<em>后</em>通过检查返回用户信息来检验登陆结果是否成功。
用户登录流程userLogin ，共涉及五个Node节点，分别为，加密用户提交密码、查询操作员信息、判断符合条件的用户是否存在、更新用户最<em>后</em>登陆时间和IP信息、打印结果；对应的处理模块分别为：字符串处理模块（stringUtilMo</div>
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				<div class="desc ellipsis-online ellipsis-online-1">发现一篇排查sprintboot<em>内存</em>泄漏的文章，发现作者分析很到位，这里转载学习一下。



<em>Native</em> <em>Memory</em> <em>Tracking</em> (<em>NMT</em>)

首先，我们先了解一下<em>Native</em> <em>Memory</em> <em>Tracking</em> (<em>NMT</em>)。

<em>Native</em> <em>Memory</em> <em>Tracking</em> (<em>NMT</em>) 是Hotspot VM用来分析VM内部<em>内存</em>使用情况的一个功能。我们可以利用jcmd（jdk自带）这个工具来访问<em>NMT</em>的数据。

<em>NMT</em>介绍


工欲善其事必先利其器，我们先把相关需要的配置和工具介绍清楚，再通过例子来.</div>
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				<div class="desc ellipsis-online ellipsis-online-1"><em>Native</em> <em>Memory</em> <em>Tracking</em>

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				<div class="desc ellipsis-online ellipsis-online-1">1.概述是否曾经想过为什么<em>Java</em>应用程序通过众所周知的-Xms和-Xmx调整标志消耗的<em>内存</em>比指定的数量大得多 ？由于各种原因和可能的优化，<em>JVM</em>可能会分配额外的本机<em>内存</em>。这些额外的分配最终可能使消耗的<em>内存</em>超出-Xmx限制。在本教程<em>中</em>，我们将枚举<em>JVM</em><em>中</em>本机<em>内存</em>分配的一些常见来源，以及它们的大小调整标志，然<em>后</em>学习如何使用本机<em>内存</em>跟踪来监视它们。2.本机分配通常，堆是<em>Java</em>应用程序<em>中</em>最大的<em>内存</em>消耗...</div>
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					<div class="left ellipsis-online ellipsis-online-1">使用<em>NMT</em>分析你的<em>java</em>进程到底用了多少<em>内存</em>？</div>
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				<div class="desc ellipsis-online ellipsis-online-1">我们分析<em>java</em>程序性能的时候可能会关注我们的进程到底用了多少<em>内存</em>？哪些地方分别用了多少<em>内存</em>呢？

jdk提供了一个jcmd的命令工具可以让我们很容易地查询<em>java</em>进程的<em>Native</em><em>内存</em>使用。(关于<em>Native</em><em>内存</em>是什么读者可以参考：https://www.ibm.com/developerworks/library/j-<em>native</em><em>memory</em>-linux/index.html)

<em>NMT</em>介绍可...</div>
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                <a class="title text-truncate" target="_blank" href="https://blog.csdn.net/JimFire/article/details/108407814#comments_20701331" data-report-click="{&quot;mod&quot;:&quot;popu_542&quot;,&quot;spm&quot;:&quot;1001.2101.3001.4231&quot;,&quot;dest&quot;:&quot;https://blog.csdn.net/JimFire/article/details/108407814#comments_20701331&quot;,&quot;ab&quot;:&quot;new&quot;}">碰到调试JNI_CreateJavaVM时SIGSEGV fault错误的解决方案</a>
                <p class="comment ellipsis">
                    <a href="https://blog.csdn.net/JimFire" class="user-name" target="_blank">阿达King: </a>
                    <span class="code-comments">我写这篇文章是因为我不希望有人跟我一样的遭遇，有人在我面前装逼！！！</span>
                </p>
            </li>
            <li>
                <a class="title text-truncate" target="_blank" href="https://blog.csdn.net/JimFire/article/details/108407814#comments_20559990" data-report-click="{&quot;mod&quot;:&quot;popu_542&quot;,&quot;spm&quot;:&quot;1001.2101.3001.4231&quot;,&quot;dest&quot;:&quot;https://blog.csdn.net/JimFire/article/details/108407814#comments_20559990&quot;,&quot;ab&quot;:&quot;new&quot;}">碰到调试JNI_CreateJavaVM时SIGSEGV fault错误的解决方案</a>
                <p class="comment ellipsis">
                    <a href="https://blog.csdn.net/JimFire" class="user-name" target="_blank">阿达King: </a>
                    <span class="code-comments">我写这篇文章是因为我不希望有人跟我一样的遭遇，有人在我面前装逼！！！</span>
                </p>
            </li>
            <li>
                <a class="title text-truncate" target="_blank" href="https://blog.csdn.net/JimFire/article/details/108407814#comments_20528429" data-report-click="{&quot;mod&quot;:&quot;popu_542&quot;,&quot;spm&quot;:&quot;1001.2101.3001.4231&quot;,&quot;dest&quot;:&quot;https://blog.csdn.net/JimFire/article/details/108407814#comments_20528429&quot;,&quot;ab&quot;:&quot;new&quot;}">碰到调试JNI_CreateJavaVM时SIGSEGV fault错误的解决方案</a>
                <p class="comment ellipsis">
                    <a href="https://blog.csdn.net/zhumulanma_" class="user-name" target="_blank">zhumulanma_: </a>
                    <span class="code-comments">感谢，刚好遇到gdb调试 JNI_CreateJavaVM的问题，非常管用<img src="./JVM中的本地内存追踪NMT（Native Memory Tracking）_阿达King的博客-CSDN博客_内存追踪_files/015.png" alt="表情包"></span>
                </p>
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                <a class="title text-truncate" target="_blank" href="https://blog.csdn.net/JimFire/article/details/108407814#comments_20516659" data-report-click="{&quot;mod&quot;:&quot;popu_542&quot;,&quot;spm&quot;:&quot;1001.2101.3001.4231&quot;,&quot;dest&quot;:&quot;https://blog.csdn.net/JimFire/article/details/108407814#comments_20516659&quot;,&quot;ab&quot;:&quot;new&quot;}">碰到调试JNI_CreateJavaVM时SIGSEGV fault错误的解决方案</a>
                <p class="comment ellipsis">
                    <a href="https://blog.csdn.net/angangi" class="user-name" target="_blank">angangi: </a>
                    <span class="code-comments">完美解决了我的问题，netbeans调试jdk8的时候确实也遇到了这个问题</span>
                </p>
            </li>
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                <a class="title text-truncate" target="_blank" href="https://blog.csdn.net/JimFire/article/details/5096633#comments_17651763" data-report-click="{&quot;mod&quot;:&quot;popu_542&quot;,&quot;spm&quot;:&quot;1001.2101.3001.4231&quot;,&quot;dest&quot;:&quot;https://blog.csdn.net/JimFire/article/details/5096633#comments_17651763&quot;,&quot;ab&quot;:&quot;new&quot;}">Microsoft SQL Server, 错误：4064的解决方法</a>
                <p class="comment ellipsis">
                    <a href="https://blog.csdn.net/m0_55891315" class="user-name" target="_blank">带带绝缘体: </a>
                    <span class="code-comments">多谢</span>
                </p>
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                            <div class="toc-box"><ol><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t0">JVM中的本地内存追踪NMT（Native Memory Tracking）</a></li><li class="sub-box"><ol><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t1">1 概述</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t2">2. 本地分配</a></li><li class="sub-box"><ol><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t3">2.1. 元空间（Metaspace）</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t4">2.2. 线程</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t5">2.3. 代码缓存</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t6">2.4. 垃圾回收</a></li><li class="active"><a href="https://blog.csdn.net/JimFire/article/details/122060919#t7">2.5. 符号（Symbols）</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t8">2.6. 本地字节缓存</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t9">2.7. 其他标志</a></li></ol></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t10">3. Native Memory Tracking (NMT)</a></li><li class="sub-box"><ol><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t11">3.1. 即时快照</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t12">3.2. 全部分配</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t13">3.3. 堆</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t14">3.4. 元数据区（Metaspace）</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t15">3.5. 线程</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t16">3.6. Code Cache</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t17">3.7. GC</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t18">3.8. 符号（Symbol）</a></li><li class=""><a href="https://blog.csdn.net/JimFire/article/details/122060919#t19">3.9. NMT 监控时间段</a></li></ol></li><li><a href="https://blog.csdn.net/JimFire/article/details/122060919#t20">4. 结论</a></li></ol></li></ol></div>
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